Logo: University of Southern California

Events Calendar

Select a calendar:

Filter March Events by Event Type:

Events for March 31, 2022

  • Repeating EventCS Undergraduate Web Registration Live Chat Assistance

    Thu, Mar 31, 2022 @ 09:00 AM - 09:30 AM

    Thomas Lord Department of Computer Science

    Student Activity

    If you are a CS undergraduate with a web registration permit time of 9am today and are having difficulty with web registration, the advisement staff will be available from 9:00am - 9:30am to help troubleshoot your registration questions and issues. Chat with us at https://www.cs.usc.edu/chat/

    Audiences: Undergrad

    View All Dates

    Contact: USC Computer Science

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • 16th Annual Mork Family Department Student Research Symposium

    Thu, Mar 31, 2022 @ 09:30 AM - 03:30 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Receptions & Special Events

    Location: Michelson Center for Convergent Bioscience (MCB) - 1st Floor

    Audiences: Everyone Is Invited

    Contact: Karen Woo/Mork Family

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • CS Colloquium: Weihang Wang (State University of New York at Buffalo) - Understanding WebAssembly via Program Transformation

    Thu, Mar 31, 2022 @ 11:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Weihang Wang , State University of New York at Buffalo

    Talk Title: Understanding WebAssembly via Program Transformation

    Series: CS Colloquium

    Abstract: WebAssembly is the newest language for the web, aiming to enable high-performance applications and provide languages such as C/C++ a compilation target so that they can be run on the web. WebAssembly defines a portable binary instruction set, as well as a corresponding textual assembly format. However, WebAssembly's syntax is difficult to interpret for human readers because of the stack machine-based implementation. As a result, distributed third-party WebAssembly modules need to be implicitly trusted by developers as verifying the functionality requires significant effort.

    In this talk, I will describe my work towards building analysis tools for developers to understand WebAssembly programs. The first section of the talk will focus on identifying limitations of current analysis tools: I will introduce a code obfuscation technique for obfuscating JavaScript malware by translating parts of the computation into WebAssembly. By pinpointing limitations of current malware detectors, my work motivates future efforts on detecting multi-language malware on the web that uses WebAssembly. The second section of the talk will focus on a set of abstraction rules for WebAssembly instructions, which can be used to lift WebAssembly to a high-level representation that abstracts the underlying semantics of the code. I have applied the abstraction rules in detecting WebAssembly-based cryptomining malware. My detection relies on program semantics unique to cryptomining, which is resilient to variants.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Weihang Wang is an Assistant Professor at the State University of New York at Buffalo. She received her Ph.D. degree in Computer Science from Purdue University in 2018. Weihang's interests are in Software Engineering, with a focus on building tools for improving the reliability and security of software systems. She was awarded an NSF CAREER Award in 2021, a Facebook Testing and Verification Research Award in 2019, a Mozilla Research Award in 2019, and a Maurice H. Halstead Memorial Research Award in 2018.

    Host: Chao Wang

    Location: Olin Hall of Engineering (OHE) - 132

    Audiences: By invitation only.

    Contact: Assistant to CS chair

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • Repeating EventVirtual First-Year Admission Information Session

    Thu, Mar 31, 2022 @ 11:00 AM - 12:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions

    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience. Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life. Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Register Here!

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Viterbi Admission

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • Astani Civil and Environmental Engineering Seminar

    Thu, Mar 31, 2022 @ 12:30 PM - 01:30 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Michael Shields, John Hopkins University

    Talk Title: Manifold Learning for High Dimensional Uncertainty Quantification

    Uncertainty Quantification (UQ), the systematic and rigorous accounting of uncertainties, has become widely accepted as an essential component of any proper scientific investigation -“ whether computational, experimental, or otherwise. In computational science and engineering, as well as in experimental investigations, we often encounter problems that are parameterized by very high-dimensional quantities and/or result in very high-dimensional quantities of interest. Thanks to the curse of dimensionality, the challenge of solving these problems grows exponentially with the problem dimensions. This explosive growth in complexity has been widely known for decades and may never be truly resolved. However, all hope is not lost. In this presentation, we offer some strategies for addressing high dimensional UQ problems whose uncertainties can be expressed in lower-dimensional latent spaces or on manifolds whose geometry is not necessarily Euclidean. We begin by introducing some concepts in Reimannian geometry and nonlinear dimension reduction, specifically reviewing Grassmann manifolds and diffusion maps, and show how UQ problems with high dimensional solutions can be solved by projecting solution snapshots onto the Grassmann manifold, performing diffusion maps on the manifold, and constructing surrogate models on the resulting low-dimensional space using standard machine learning methods such as Gaussian process regression, polynomial chaos expansions (PCE), or deep neural networks. Next, we consider problems with very high dimensional inputs and present a survey of 13 different unsupervised learning methods for dimension reduction, which are used to identify low-dimensional latent spaces on which PCE surrogates are constructed. Some takeaways from this general approach, termed manifold-PCE, are presented. Finally, we bring the two components together to propose a general framework for UQ in high dimensions that is widely applicable and very flexible.

    Biography: Michael D. Shields is an Associate Professor in the Dept. of Civil & Systems Engineering at Johns Hopkins University and holds a secondary appointment in the Dept. of Materials Science and Engineering. Prof. Shields conducts methodological research in uncertainty quantification and stochastic simulation for problems in mechanics, materials science, and physics with applications ranging from multi-scale material modeling to assessing the reliability and safety of large-scale structures. He received his Ph.D. in Civil Engineering and Engineering Mechanics from Columbia University in 2010, after which he was employed as a Research Engineer in applied computational mechanics at Weidlinger Associates, Inc. He joined the faculty at Johns Hopkins in 2013. For his work in UQ, Prof. Shields has been awarded the ONR Young Investigator Award, the NSF CAREER Award, the DOE Early Career Award, and the Johns Hopkins University Catalyst Award. Prof. Shields and his group also develop the open-source UQpy (Uncertainty Quantification with Python) software, which is a general toolbox for UQ in computational, mathematical, and physical systems.

    Host: Dr. Roger Ghanem

    Webcast: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659 Pass: 975701

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    WebCast Link: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659 Pass: 975701

    Audiences: Everyone Is Invited

    Contact: Evangeline Reyes

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • McKinsey & Company Info Session, hosted by Affinity Networks (Virtual)

    Thu, Mar 31, 2022 @ 07:00 PM - 08:00 PM

    Viterbi School of Engineering Career Connections

    Conferences, Lectures, & Seminars

    Abstract: Our global All In, Diversity & Inclusion initiatives engage colleagues around the world to develop and share innovative ways of working that advance inclusivity. To ensure diversity in gender, ethnicity, background, education, orientation, etc., we constantly look for new ways to reach people who might otherwise not be considering consulting as a career option.
    For this session, we will be talking about our global culture of inclusion and our Affinity Networks, and also sharing a few details about the application process.
    Please register for the event here: https://mckinsey.avature.net/events/Rsvp/?folderId=62467
    External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. Inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participant's responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu

    More Info: https://mckinsey.avature.net/events/Rsvp/?folderId=62467

    Location: RSVP in Viterbi Career Gateway

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

    Event Link: https://mckinsey.avature.net/events/Rsvp/?folderId=62467

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File